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Universal enzymatic numerical P systems with small number of enzymatic variables

Science China(Information Sciences) 2018年第9期61卷 38-49页

作者： Zhiqiang ZHANG Tingfang WU ANDrei P■UN linqiang pan Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology School of Electric and Information Engineering Zhengzhou University of Light Industry Bioinformatics Department National Institute of Research and Development for Biological Sciences Department of Computer Science Faculty of Mathematics and Computer ScienceUniversity of Bucharest

Numerical P systems(for short, NP systems) are distributed and parallel computing models inspired from the structure of living cells and economics. Enzymatic numerical P systems(for short, ENP systems) are a variant of NP systems, which have been successfully applied in designing and implementing controllers for mobile robots. Since ENP systems were proved to be Turing universal, there has been much work to simplify the universal systems, where the complexity parameters considered are the number of membranes, the degrees of polynomial production functions or the number of variables used in the *** the number of enzymatic variables, which is essential for ENP systems to reach universality, has not been investigated. Here we consider the problem of searching for the smallest number of enzymatic variables needed for universal ENP systems. We prove that for ENP systems as number acceptors working in the all-parallel or one-parallel mode, one enzymatic variable is sufficient to reach universality; while for the one-parallel ENP systems as number generators, two enzymatic variables are sufficient to reach *** results improve the best known results that the numbers of enzymatic variables are 13 and 52 for the all-parallel and one-parallel systems, respectively.

关键词： bio-inspired computing numerical P system mobile robot membrane controller universality

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A note on hypertournaments

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Chinese Science Bulletin 1999年第16期44卷 1460-1463页

作者： linqiang pan Guofei Zhou Kemin Zhang Nanjing Univ Dept Math Nanjing 210093 Peoples R China

It is proved that for given integer k≥2, almost all k-hypertournaments are strong and in almost all k-hypertournaments, every pair of vertices lies on a 3-cycle.

关键词： tournament hyper-tournament cycle strongly connected digraph.

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Guest Editorial:Advances in Bio-inspired Heuristics for Computing

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CAAI Transactions on Intelligence Technology 2019年第3期4卷 127-128页

作者： XINCHAO ZHAO MAOGUO GONG XINGQUAN ZUO linqiang pan School of Science Beijing University of Posts and TelecommunicationsBeijing 100876PR China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian UniversityXi’an 710071PR China School of Computer Science Beijing University of Posts and TelecommunicationsBeijing 100876PR China Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of AutomationHuazhong University of Science and TechnologyWuhan 430074PR China

Bio-inspired computing (BIC), short for biologically inspired computing, is a field of study that loosely knits together subfields related to the topics of connectionism, social behaviour and emergence. The field of bio-inspired computing brings together researchers from many disciplines, including biology, computer science, mathematics, physics and genetics.

关键词： Guest Editorial Advances Bio-inspired Heuristics Computing

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Small universal simple spiking neural P systems with weights

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Science China(Information Sciences) 2014年第9期57卷 19-29页

作者： ZENG XiangXiang pan linqiang PREZ-JIMNEZ Mario J. Key Laboratory of Image Processing and Intelligent Control School of AutomationHuazhong University of Science and Technology Department of Computer Science and Artificial Intelligence University of SevillaAvda. Reina Mercedes s/nSevilla 41012Spain

Spiking neural P systems with weights(WSN P systems,for short)are a new variant of spiking neural P systems,where the rules of a neuron are enabled when the potential of that neuron equals a given *** is known that WSN P systems are universal by simulating register ***,in these universal systems,no bound is considered on the number of neurons and *** this work,a restricted variant of WSN P systems is considered,called simple WSN P systems,where each neuron has only one *** complexity parameter,the number of neurons,to construct a universal simple WSN P system is *** is proved that there is a universal simple WSN P system with 48 neurons for computing functions;as generator of sets of numbers,there is an almost simple(that is,each neuron has only one rule except that one neuron has two rules)and universal WSN P system with 45 neurons.

关键词： bio-inspired computing membrane computing P system spiking neural P system universal computing device

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A global heuristically search algorithm for DNA encoding

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Progress in Natural Science:Materials International 2007年第6期17卷 745-749页

作者： Zhang Kai, pan linqiang and Xu Jin (The Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China) The Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Department of Superconductivity University of Tokyo Bunkyo-ku Tokyo 113 Japan

A new efficient algorithm is developed to design DNA words with equal length for DNA computing. The algorithm uses a global heuristic optimizing search approach and converts constraints to a carry number to accelerate the convergence, which can generate a DNA words set satisfying some thermodynamic and combinatorial constraints. Based on the algorithm, a software for DNA words design is developed.

关键词： DNA computing encoding heuristic optimizing search

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Multi-objective carrier chaotic evolutionary algorithm for DNA sequences design

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Progress in Natural Science:Materials International 2007年第12期17卷 1515-1520页

作者： Xiao Jianhua, Xu Jin, Geng Xiutang and pan linqiang(Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China) Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

DNA computing is a new vista of computation, which is of biochemical type. Since each piece of information is encoded in biological sequences, their design is crucial for successful DNA computation. DNA sequence design is involved with a number of design criteria, which is difficult to be solved by the traditional optimization methods. In this paper, the multi-objective carrier chaotic evolution algorithm (MCCEA) is introduced to solve the DNA sequence design problem. By merging the chaotic search base on power function carrier, a set of good DNA sequences are generated. Furthermore, the simulation results show the efficiency of our method.

关键词： DNA computing carrier chaotic search multi-objective evolutionary algorithm DNA sequences design.

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A surface-based DNA algorithm for the minimal vertex cover problem

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Progress in Natural Science:Materials International 2003年第1期 80-82页

作者： pan linqiang , XU Jin and LIU Yachun (Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China Department of Mathematics and Physics, Institute of Engineering and Technology, Nanhua University, Hengyang 421001, China) Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074China Department of Mathematics and Physics Institute of Engineering and Technology Nanhua University Hengyang 421001 China

Abstract DNA computing was proposed for solving a class of intractable computational problems, of which the computing timewill grow exponentially with the problem size. Up to now, many achievements have been made to improve its performance and increase itsreliability. It has been shown many times that the surface-based DNA computing technique has very low error rate, but the technique hasnot been widely used in the DNA computing algorithms design. In this paper, a surface-based DNA computing algorithm for minimal ver-tex cover problem, a problem well-known for its exponential difficulty, is introduced. This work provides further evidence for the abilityof surface-based DNA computing in solving NP-complete problems.

关键词： DNA computing NP-complete problem minimal vertex cover problem.

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时间因素对脉冲神经膜系统计算能力的影响

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安徽大学学报（自然科学版） 2018年第3期42卷 3-10页

作者：庞善臣郝少华宋弢宫法明潘林强中国石油大学(华东)计算机与通信工程学院山东青岛266580 华中科技大学自动化学院湖北武汉430074

脉冲神经膜系统是一类分布式并行的神经网络计算模型.从模型的研究着眼点来看,脉冲神经膜系统是一类全新的脉冲神经网络模型,属于第三代神经网络计算模型的研究范畴.通过分析评述脉冲神经膜系统中时间因素对其计算能力影响,讨论了异步... 详细信息

脉冲神经膜系统是一类分布式并行的神经网络计算模型.从模型的研究着眼点来看,脉冲神经膜系统是一类全新的脉冲神经网络模型,属于第三代神经网络计算模型的研究范畴.通过分析评述脉冲神经膜系统中时间因素对其计算能力影响,讨论了异步工作模式下,时间以及时间无关模式下的脉冲神经膜系统的计算能力不会减弱,即具有图灵通用性.这些结果可为脉冲神经膜系统进行模糊信息处理提供理论支持,也可为基于脉冲神经膜系统的离散时间建模方法提供可行性论据.最后,针对目前该领域研究的热点和难点,对该领域研究的公开问题和研究方向进行讨论.

关键词：生物启发的计算膜计算脉冲神经膜系统计算能力

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双链DNA解链温度的特征自组织预测方法(英文)

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计算机与应用化学 2006年第6期23卷 515-518页

作者：石晓龙李新潘林强刘向荣刘文斌华中科技大学控制科学与工程系湖北武汉430074 武汉大学第一附属医院湖北武汉430060

解链温度是目前评价DNA序列热力学稳定性的一个主要的参数,目前,生物工程中常用的各种预测方法都存在某些序列的误差偏大的缺点,因此难以满足像DNA计算这种大量DNA序列进行各种生化反应的计算过程的要求。本文以DNA序列的邻近法参数为基... 详细信息

解链温度是目前评价DNA序列热力学稳定性的一个主要的参数,目前,生物工程中常用的各种预测方法都存在某些序列的误差偏大的缺点,因此难以满足像DNA计算这种大量DNA序列进行各种生化反应的计算过程的要求。本文以DNA序列的邻近法参数为基础,根据DNA序列热稳定性特点提出了DNA序列的编码方案,并建立了基于特征自组织网络的解链温度的预测模型。计算结果表明,DNA序列的解链温度的误差可以达到±5℃的范围。

关键词：解链温度双链DNA 特征自组织

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黑白数字图像的有穷状态自动机表示方法

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武汉理工大学学报（交通科学与工程版） 2006年第5期30卷 835-838页

作者：刘光武许进潘林强华中科技大学控制科学与工程系

自动机理论是理论计算机科学的基础理论之一,在很多领域自动机有着广泛的应用,在将黑白图像进行像素地址编码的基础上使用语言来描述数字图像,从而得到用自动机来描述数字图像的方法,任意有穷分辨率黑白图像均可以用有穷状态自动机来表... 详细信息

自动机理论是理论计算机科学的基础理论之一,在很多领域自动机有着广泛的应用,在将黑白图像进行像素地址编码的基础上使用语言来描述数字图像,从而得到用自动机来描述数字图像的方法,任意有穷分辨率黑白图像均可以用有穷状态自动机来表示,多分辨率图像能够用有穷状态自动机来描述当且仅当该图像中不同形状的子图像的个数为有限个.

关键词：自动机理论计算机科学形式语言数字图像

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